CLFeb 25, 2023

HADES: Homologous Automated Document Exploration and Summarization

arXiv:2302.13099v11 citationsh-index: 35
Originality Synthesis-oriented
AI Analysis

This tool addresses the need for efficient document comparison in fields like policy, law, and science, though it appears incremental as it combines existing techniques into a pipeline.

The paper tackles the problem of automating comparative analysis of documents with similar structures, introducing HADES, a tool that uses topic modeling and summarization to reduce time and effort for professionals handling large volumes of documents.

This paper introduces HADES, a novel tool for automatic comparative documents with similar structures. HADES is designed to streamline the work of professionals dealing with large volumes of documents, such as policy documents, legal acts, and scientific papers. The tool employs a multi-step pipeline that begins with processing PDF documents using topic modeling, summarization, and analysis of the most important words for each topic. The process concludes with an interactive web app with visualizations that facilitate the comparison of the documents. HADES has the potential to significantly improve the productivity of professionals dealing with high volumes of documents, reducing the time and effort required to complete tasks related to comparative document analysis. Our package is publically available on GitHub.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes